OPTIMIZATION TECHNIQUES FOR PARTIALLY SHADED PHOTO-VOLTAIC ARRAYS - Monga, Himanshu;Kant Sharma, Kamal
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We have implemented a hybrid maximum power point tracking method for photo-voltaic scheme under partly shaded circumstances. The method proposed is capable of combining artificial neural network (ANN) with standard MPPT method such as perturb and observe. By considering the voltage of its limits based on ANN, the fresh hybrid MPPT algorithm is used to anticipate GMPP region. At the same time, the standard MPPT algorithm is searching for MPP in the expected region. The fresh MPPT technique is simulated and modeled using MATLAB/Simulink.Compared to ANN, the newly suggested technique demonstrates…mehr

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Produktbeschreibung
We have implemented a hybrid maximum power point tracking method for photo-voltaic scheme under partly shaded circumstances. The method proposed is capable of combining artificial neural network (ANN) with standard MPPT method such as perturb and observe. By considering the voltage of its limits based on ANN, the fresh hybrid MPPT algorithm is used to anticipate GMPP region. At the same time, the standard MPPT algorithm is searching for MPP in the expected region. The fresh MPPT technique is simulated and modeled using MATLAB/Simulink.Compared to ANN, the newly suggested technique demonstrates better efficiency and precision with a rapid response to GMPP tracking in the expected region, thus improving the amount of output energy for photovoltaic arrays under partly shaded conditions.
Autorenporträt
The author has obtained his PhD. from Thapar Institute of Engineering and Technology, (TU) Department Of ECE, Patiala, Punjab, INDIA, in the field of Optical Networks / Coding and Wireless networks. He has more than 22 Thomson Reuter SCI publications to his credit and has authored 4 books.